It says uncaught app exception and oserror that my model.h5 is not found please help me....?

🎈 Using Streamlit
,
1 
import streamlit as st
from streamlit_webrtc import webrtc_streamer
import av
import cv2
import numpy as np
import mediapipe as mp
from keras.models import load_model

model = load_model("my_model.h5")
label = np.load("labels.npy")

holistic = mp.solutions.holistic
hands = mp.solutions.hands
holis = holistic.Holistic()
drawing = mp.solutions.drawing_utils


class EmotionProcessor:
    def revc(self, frame):
        frm = frame.to_ndarray(format="bgr24")

        ####################
        frm = cv2.flip(frm, 1)

        res = holis.process(cv2.cvtColor(frm, cv2.COLOR_BGR2RGB))

        lst = []

        if res.face_landmarks:
            for i in res.face_landmarks.landmark:
                lst.append(i.x - res.face_landmarks.landmark[1].x)
                lst.append(i.y - res.face_landmarks.landmark[1].y)

            if res.left_hand_landmarks:
                for i in res.left_hand_landmarks.landmark:
                    lst.append(i.x - res.left_hand_landmarks.landmark[8].x)
                    lst.append(i.y - res.left_hand_landmarks.landmark[8].y)
            else:
                for i in range(42):
                    lst.append(0.0)

            if res.right_hand_landmarks:
                for i in res.right_hand_landmarks.landmark:
                    lst.append(i.x - res.right_hand_landmarks.landmark[8].x)
                    lst.append(i.y - res.right_hand_landmarks.landmark[8].y)
            else:
                for i in range(42):
                    lst.append(0.0)

            lst = np.array(lst).reshape(1, -1)

            pred = label[np.argmax(model.predict(lst))]

            print(pred)
            cv2.putText(frm, pred, (50, 50), cv2.FONT_ITALIC, 1, (255, 0, 0), 2)

        drawing.draw_landmarks(frm, res.face_landmarks, holistic.FACEMESH_CONTOURS)
        drawing.draw_landmarks(frm, res.left_hand_landmarks, hands.HAND_CONNECTIONS)
        drawing.draw_landmarks(frm, res.right_hand_landmarks, hands.HAND_CONNECTIONS)

        ######################

        return av.VideoFrame.from_ndarray(frm, format="bgr24")


lang = st.text_input("Language")
singer = st.text_input("Singer")

if lang and singer:
    webrtc_streamer(key="key", desired_playing_state=True, video_processor_factory=EmotionProcessor)

btn = st.button("Click")
![Screenshot 2024-03-02 135730|690x194](upload://x7dFAr4tJxPfdNdx4GCV7SJCq3H.jpeg)
![Screenshot 2024-03-02 135656|690x118](upload://h2jR4MD2cAqxCSSP7DpXWXrWWC3.jpeg)
2

Hi @Rajguru_Thevar

Could you check to see if your .h5 file is in the same directory as your main app file (according to the provided path in the code).

Also can you check if the spelling of the file name used in the code and the actual file has matching file names.

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